Let's visualize GraphConvModel of DeepChem

Introduction

I wanted to start Deep Learning with a compound, so I hacked the GraphConvModel of DeepChem last time and output it as text by the summary method.

This time I tried to visualize it with plot_model.

environment

Method

If you put the following code in line 624 of the file where the GraphConvModel class definition is made and create a prediction model with appropriate data, a file called model.png will be generated.

<anaconda3>/envs/deepchem/lib/python3.7/site-packages/deepchem/models/graph_conv.py


    from tensorflow.keras.utils import plot_model
    plot_model(
            model,
            show_shapes=True,
        )

result

Like this. The order of Input is changed and it is hard to see, but it may be easier to imagine than the text-based one. Weave is going to be more complicated.

model.png

Recommended Posts

Let's visualize GraphConvModel of DeepChem
Let's visualize the trading volume of TSE stocks --jpxlab sample
Let's visualize the number of people infected with coronavirus with matplotlib
Visualize the orbit of Hayabusa2
[Word2vec] Let's visualize the result of natural language processing of company reviews
Let's use usercustomize.py instead of sitecustomize.py
Let's use tomotopy instead of gensim
Visualize the response status of the census 2020
Let's decide the winner of bingo